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Irisity and Axis enter into partnership developing deep learning powered intelligent cameras - Vimarsana News

Irisity and Axis enter into partnership developing deep learning powered intelligent cameras

Irisity and Axis enter into partnership developing deep learning powered intelligent cameras Irisity AB (publ), an ADP, Axis Development Partner, has developed an embedded version of IRIS to be integrated into Axis TPU cameras resulting in a unique deep learning capable AI camera. Irisity AB Publicerad: 3 februari 2021, 14:10 Through the Axis Communications partnership program, Irisity integrates an embedded version of its cutting-edge IRIS algorithms for Axis' next generation Tensor Processing Unit TPU, based cameras. This enables advanced deep learning capabilities fully autonomously on Axi...

Source: di.se
DeepMind's mounting losses show why it's hard to run an AI research lab - Vimarsana News

DeepMind's mounting losses show why it's hard to run an AI research lab

Last week, on the heels of DeepMind’s breakthrough in using artificial intelligence to predict protein folding came the news that the UK-based AI company is still costing its parent company Alphabet Inc hundreds of millions of dollars in losses each year. A tech company losing money is nothing new. The tech industry is replete with […]

Light-Carrying Chips Advance Machine Learning - Vimarsana News

Light-Carrying Chips Advance Machine Learning

Light-Carrying Chips Advance Machine Learning In the digital age, data traffic is growing at an exponential rate. The demands on computing power for applications in artificial intelligence such as pattern and speech recognition in particular, or for self-driving vehicles, often exceeds the capacities of conventional computer processors. Working together with an international team, researchers at the University of Münster are developing new approaches and process architectures which can cope with these tasks extremely efficie...

Light-carrying chips advance machine learning - Vimarsana News

Light-carrying chips advance machine learning

 E-Mail IMAGE: Schematic representation of a processor for matrix multiplications which runs on light. Together with an optical frequency comb, the waveguide crossbar array permits highly parallel data processing. view more  Credit: WWU/AG Pernice In the digital age, data traffic is growing at an exponential rate. The demands on computing power for applications in artificial intelligence such as pattern and speech recognition in particular, or for self-driving vehicles, often exceeds the capacities of conventional computer processors. Working together with an international team, res...